Computer-simulated RFLP analysis of 16S rRNA genes: identification of ten new phytoplasma groups.
By Wei Wei, R. Davis, Ing-Ming Lee, Yan Zhao. International Journal of Systematic and Evolutionary Microbiology, 2007
354 citations recorded by the source corpus.
Subfields: Insect Science, Plant Science
View Paper: https://www.semanticscholar.org/paper/f088778522a3b77d062bce66ac6d4b2a3bfae3b5
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Citations in the corpus
- GRAPEVINE YELLOWS IN ITALY: PAST, PRESENT AND FUTURE (2010, methodology): “, 1998), recently expanded through an automated RFLP approach (Wei et al., 2007).”
- Construction of an interactive online phytoplasma classification tool, iPhyClassifier, and its application in analysis of the peach X-disease phytoplasma group (16SrIII) (2009, methodology): “This step is critical because, in the 16S rRNA gene-based phytoplasma classification scheme, strains are classified into groups and subgroups based strictly on RFLP patterns derived from 16S rRNA gene F2nR2 fragments (Lee et al., 1998, 2000; Wei et al., 2007, 2008b).”
- Lethal yellowing‐type diseases of palms associated with phytoplasmas newly identified in Florida, USA (2008, background): “3) confirmed that all eight phytoplasma strains examined in this study clustered closely together with other strains (Cordova et al., 2000; Harrison et al., 2002b; Martinez et al., 2007; Wei et al., 2007) composing the coconut lethal yellows phytoplasma subclade (Gundersen et al.”